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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

DrugHash: Hashing Based Contrastive Learning for Virtual Screening AAAI 2025 Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning ICML 2025 DS2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis ACL 2025 DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models EMNLP 2025 DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models AAAI 2025 DSLNLP@NLU of Devanagari Script Languages 2025: Leveraging BERT-based Architectures for Language Identification, Hate Speech Detection and Target Classification COLING 2025 DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path EMNLP 2025 DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness ICCV 2025 DSPO: Direct Score Preference Optimization for Diffusion Model Alignment ICLR 2025 DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions AAAI 2025 DSTR: Dual Scenes Transformer for Cross-Modal Fusion in 3D Object Detection WACV 2025 DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation CVPR 2025 DTOS: Dynamic Time Object Sensing with Large Multimodal Model CVPR 2025 Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation AAAI 2025 DualCIR: Enhancing Training-Free Composed Image Retrieval via Dual-Directional Descriptions WACV 2025 Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning CVPR 2025 DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype AAAI 2025 Dual Debiasing for Noisy In-Context Learning for Text Generation ACL 2025 Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection ICCV 2025 Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection IJCAI 2025 Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression IJCAI 2025 Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model ACL 2025 Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis AAAI 2025 Dual-Module Collaborative LoRA for Effective Large Language Model Fine-Tuning ACML 2025 DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision AAAI 2025